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Splunk SPLK-5002 認定試験の出題範囲:
| トピック | 出題範囲 |
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| トピック 1 | - Automation and Efficiency: This section assesses Automation Engineers and SOAR Specialists in streamlining security operations. It covers developing automation for SOPs, optimizing case management workflows, utilizing REST APIs, designing SOAR playbooks for response automation, and evaluating integrations between Splunk Enterprise Security and SOAR tools.
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| トピック 2 | - Auditing and Reporting on Security Programs: This section tests Auditors and Security Architects on validating and communicating program effectiveness. It includes designing security metrics, generating compliance reports, and building dashboards to visualize program performance and vulnerabilities for stakeholders.
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| トピック 3 | - Detection Engineering: This section evaluates the expertise of Threat Hunters and SOC Engineers in developing and refining security detections. Topics include creating and tuning correlation searches, integrating contextual data into detections, applying risk-based modifiers, generating actionable Notable Events, and managing the lifecycle of detection rules to adapt to evolving threats.
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| トピック 4 | - Data Engineering: This section of the exam measures the skills of Security Analysts and Cybersecurity Engineers and covers foundational data management tasks. It includes performing data review and analysis, creating and maintaining efficient data indexing, and applying Splunk methods for data normalization to ensure structured and usable datasets for security operations.
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| トピック 5 | - Building Effective Security Processes and Programs: This section targets Security Program Managers and Compliance Officers, focusing on operationalizing security workflows. It involves researching and integrating threat intelligence, applying risk and detection prioritization methodologies, and developing documentation or standard operating procedures (SOPs) to maintain robust security practices.
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SPLK-5002過去問無料 & SPLK-5002試験資料
品質は、時間と量の試練に耐えることです。我々GoShikenがあなたに提供するSplunkのSPLK-5002ソフトはこれを保証します。我々の問題集の更新と解答への専門的な分析は我々の商品に多くの受験生の試験に合格する秘密武器にならせます。試験に失敗したら全額d返金するという承諾は我々への励ましです。我々はあなたにSplunkのSPLK-5002ソフトを改善し続けることを喜んでいます。ご購入した一年間、あなたはSplunkのSPLK-5002ソフトの最新の資料を無料で得られます。
Splunk Certified Cybersecurity Defense Engineer 認定 SPLK-5002 試験問題 (Q26-Q31):
質問 # 26
Which of the following is not a type of metadata that can be returned by the metadata command?
- A. sourcetypes
- B. assets
- C. sources
- D. hosts
正解:B
解説:
Assets are not one of the metadata types returned by Splunk ' s metadata command. The command supports indexed metadata categories including hosts, sources, and sourcetypes , making option C the exception.
Typical examples include:
| metadata type=hosts
| metadata type=sources
| metadata type=sourcetypes
The command provides summarized information about indexed data and can expose attributes such as event counts and first or last observed times without requiring analysts to perform a broad raw-event search. This makes it useful when validating data availability, determining whether a particular host or sourcetype is still reporting, and performing general data-source inventory work.
An asset , by contrast, is an enriched security entity within the broader Enterprise Security context. Asset information can be maintained through Assets and Identities mechanisms and associated lookup structures, but it is not a metadata command type.
The distinction is important in security data engineering. Indexed metadata describes how Splunk stores and categorizes incoming event data; asset context describes organizational entities and their attributes. Confusing those layers can result in inefficient searches or incorrect assumptions about where contextual information resides.
Study Guide topics: metadata, hosts, sources, sourcetypes, indexed metadata, data-source inventory, Assets and Identities.
質問 # 27
Which tool can help provide a baseline of the data sources in a given Splunk environment?
- A. Enterprise Security Content Update
- B. Splunk Security Essentials Data Inventory
- C. Splunk Security Essentials Analytic Stories
- D. Enterprise Security Data Library
正解:D
解説:
The Enterprise Security Data Library (ESDL) provides a baseline of the data sources available in a Splunk environment. It helps identify which data sources are present, how they map to security use cases, and whether they align with Enterprise Security requirements.
質問 # 28
When developing security metrics, why would a Key Performance Indicator (KPI) that focuses on total perimeter firewall blocks be an ineffective metric?
- A. Perimeter firewalls are exposed on the internet directly and thus subject to automated scanners and attack tools.
- B. Perimeter firewalls should be measured on both the number of connections that they permit as well as the number they block.
- C. The metric is too high level, it should be broken down by the type of block. For example, blocks of remote systems that have repeated failed connections to services that do not exist.
- D. This a Key Result Indicator, not a KPI. It is a metric that is measuring the results of the perimeter firewall's actions, not the performance of the firewall.
正解:A
解説:
A KPI based on total perimeter firewall blocks is ineffective because perimeter firewalls are constantly exposed to the internet and subject to automated scans and attack tools, which can generate very high block counts. This inflates the metric with noise, making it a poor indicator of actual security performance or risk reduction.
質問 # 29
What framework in Enterprise Security allows engineers to build detections using known malicious IOCs comparing them to event logs to find suspicious behavior?
- A. Asset & Intelligence Framework
- B. Incident Management Framework
- C. Threat Intelligence Framework
- D. OSINT Framework
正解:C
解説:
The Threat Intelligence Framework in Splunk Enterprise Security enables engineers to build detections using known malicious IOCs (such as IPs, domains, or file hashes) and compare them against event logs. This framework automates IOC correlation to identify suspicious behavior.
質問 # 30
Which report type is most suitable for monitoring the success of a phishing campaign detection program?
- A. Real-time notable event dashboards
- B. SLA compliance reports
- C. Risk score-based summary reports
- D. Weekly incident trend reports
正解:A
解説:
Why Use Real-Time Notable Event Dashboards for Phishing Detection?
Phishing campaigns require real-time monitoring to detect threats as they emerge and respond quickly.
#Why "Real-Time Notable Event Dashboards" is the Best Choice? (Answer B)#Shows live security alerts for phishing detections.#Enables SOC analysts to take immediate action (e.g., blocking malicious domains, disabling compromised accounts).#Uses correlation searches in Splunk Enterprise Security (ES) to detect phishing indicators.
#Example in Splunk:#Scenario: A company runs a phishing awareness campaign.#Real-time dashboards track:
How many employees clicked on phishing links.
How many users reported phishing emails.
Any suspicious activity (e.g., account takeovers).
Why Not the Other Options?
#A. Weekly incident trend reports - Helpful for analysis but not fast enough for phishing detection.#C. Risk score-based summary reports - Risk scores are useful but not designed for real-time phishing detection.#D.
SLA compliance reports - SLA reports measure performance but don't help actively detect phishing attacks.
References & Learning Resources
#Splunk ES Notable Events & Phishing Detection: https://docs.splunk.com/Documentation/ES#Real-Time Security Monitoring with Splunk: https://splunkbase.splunk.com#SOC Dashboards for Phishing Campaigns:
https://www.splunk.com/en_us/blog/tips-and-tricks
質問 # 31
......
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